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This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see GISPA.

GISPA: Method for Gene Integrated Set Profile Analysis

Bioconductor version: Release (3.18)

GISPA is a method intended for the researchers who are interested in defining gene sets with similar, a priori specified molecular profile. GISPA method has been previously published in Nucleic Acid Research (Kowalski et al., 2016; PMID: 26826710).

Author: Bhakti Dwivedi and Jeanne Kowalski

Maintainer: Bhakti Dwivedi <bhakti.dwivedi at>

Citation (from within R, enter citation("GISPA")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

GISPA:Method for Gene Integrated Set Profile Analysis HTML R Script
Reference Manual PDF


biocViews GeneSetEnrichment, GenomeWideAssociation, Software, StatisticalMethod
Version 1.26.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL-2
Depends R (>= 3.5)
Imports Biobase, changepoint, data.table, genefilter, graphics, GSEABase, HH, lattice, latticeExtra, plyr, scatterplot3d, stats
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Follow Installation instructions to use this package in your R session.

Source Package GISPA_1.26.0.tar.gz
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macOS Binary (x86_64) GISPA_1.26.0.tgz
macOS Binary (arm64) GISPA_1.26.0.tgz
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